Auto-detection of non-isolated pulmonary nodules connected to the chest walls in X-ray CT images

Satoshi Shimoyama, Noriyasu Homma, Masao Sakai, Tadashi Ishibashi, Makoto Yoshizawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

In this paper, we develop an auto-detection method of non-isolated pulmonary nodules for computer-aided diagnosis (CAD) of lung cancers using X-ray CT images. An essential core of the method is to transform the non-isolated nodules connected to the walls of the chest into isolated ones that can be detected more easily by CAD systems developed previously. To this end, an active contour model is proposed to extract the lung area from the original CT image. The proposed model can solve the local optimum problem of the contour model by using anatomical features of the lung in X-ray CT slices. Some experimental results demonstrate the usefulness of the proposed method by using clinical CT images.

Original languageEnglish
Title of host publicationICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings
Pages3672-3675
Number of pages4
Publication statusPublished - 2009
EventICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009 - Fukuoka, Japan
Duration: 2009 Aug 182009 Aug 21

Publication series

NameICCAS-SICE 2009 - ICROS-SICE International Joint Conference 2009, Proceedings

Other

OtherICROS-SICE International Joint Conference 2009, ICCAS-SICE 2009
CountryJapan
CityFukuoka
Period09/8/1809/8/21

Keywords

  • Active contour
  • Computer-aided diagnosis
  • Lung cancer
  • Lung nodule
  • X-ray CT

ASJC Scopus subject areas

  • Information Systems
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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